Motion Planning Of Mobile Robot In Dynamic Environment Using Potential Field And Roadmap Based Planner

Download Motion Planning Of Mobile Robot In Dynamic Environment Using Potential Field And Roadmap Based Planner full books in PDF, epub, and Kindle. Read online Motion Planning Of Mobile Robot In Dynamic Environment Using Potential Field And Roadmap Based Planner ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Motion Planning of Mobile Robot in Dynamic Environment Using Potential Field and Roadmap Based Planner

Author : Waqar Ahmad Malik
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (545 download)

DOWNLOAD NOW!

Book Synopsis Motion Planning of Mobile Robot in Dynamic Environment Using Potential Field and Roadmap Based Planner by : Waqar Ahmad Malik

Download or read book Motion Planning of Mobile Robot in Dynamic Environment Using Potential Field and Roadmap Based Planner written by Waqar Ahmad Malik and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Mobile robots are increasingly being used to perform tasks in unknown environments. The potential of robots to undertake such tasks lies in their ability to intelligently and efficiently locate and interact with objects in their environment. My research focuses on developing algorithms to plan paths for mobile robots in a partially known environment observed by an overhead camera. The environment consists of dynamic obstacles and targets. A new methodology, Extrapolated Artificial Potential Field, is proposed for real time robot path planning. An algorithm for probabilistic collision detection and avoidance is used to enhance the planner. The aim of the robot is to select avoidance maneuvers to avoid the dynamic obstacles. The navigation of a mobile robot in a real-world dynamic environment is a complex and daunting task. Consider the case of a mobile robot working in an office environment. It has to avoid the static obstacles such as desks, chairs and cupboards and it also has to consider dynamic obstacles such as humans. In the presence of dynamic obstacles, the robot has to predict the motion of the obstacles. Humans inherently have an intuitive motion prediction scheme when planning a path in a crowded environment. A technique has been developed which predicts the possible future positions of obstacles. This technique coupled with the generalized Voronoi diagram enables the robot to safely navigate in a given environment.

Motion Planning for Dynamic Agents

Author : Zain Anwar Ali
Publisher : BoD – Books on Demand
ISBN 13 : 0854660593
Total Pages : 152 pages
Book Rating : 4.8/5 (546 download)

DOWNLOAD NOW!

Book Synopsis Motion Planning for Dynamic Agents by : Zain Anwar Ali

Download or read book Motion Planning for Dynamic Agents written by Zain Anwar Ali and published by BoD – Books on Demand. This book was released on 2024-01-17 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, Motion Planning for Dynamic Agents, presents a thorough overview of current advancements and provides insights into the fascinating and vital field of aeronautics. It focuses on modern research and development, with an emphasis on dynamic agents. The chapters address a wide range of complex capabilities, including formation control, guidance and navigation, control techniques, wide-space coverage for inspection and exploration, and the best pathfinding in unknown territory. This book is a valuable resource for scholars, practitioners, and amateurs alike due to the variety of perspectives that are included, which help readers gain a sophisticated understanding of the difficulties and developments in the area of study.

Principles of Robot Motion

Author : Howie Choset
Publisher : MIT Press
ISBN 13 : 9780262033275
Total Pages : 642 pages
Book Rating : 4.0/5 (332 download)

DOWNLOAD NOW!

Book Synopsis Principles of Robot Motion by : Howie Choset

Download or read book Principles of Robot Motion written by Howie Choset and published by MIT Press. This book was released on 2005-05-20 with total page 642 pages. Available in PDF, EPUB and Kindle. Book excerpt: A text that makes the mathematical underpinnings of robot motion accessible and relates low-level details of implementation to high-level algorithmic concepts. Robot motion planning has become a major focus of robotics. Research findings can be applied not only to robotics but to planning routes on circuit boards, directing digital actors in computer graphics, robot-assisted surgery and medicine, and in novel areas such as drug design and protein folding. This text reflects the great advances that have taken place in the last ten years, including sensor-based planning, probabalistic planning, localization and mapping, and motion planning for dynamic and nonholonomic systems. Its presentation makes the mathematical underpinnings of robot motion accessible to students of computer science and engineering, rleating low-level implementation details to high-level algorithmic concepts.

Motion Planning

Author : Xj Jing
Publisher : BoD – Books on Demand
ISBN 13 : 953761901X
Total Pages : 610 pages
Book Rating : 4.5/5 (376 download)

DOWNLOAD NOW!

Book Synopsis Motion Planning by : Xj Jing

Download or read book Motion Planning written by Xj Jing and published by BoD – Books on Demand. This book was released on 2008-06-01 with total page 610 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, new results or developments from different research backgrounds and application fields are put together to provide a wide and useful viewpoint on these headed research problems mentioned above, focused on the motion planning problem of mobile ro-bots. These results cover a large range of the problems that are frequently encountered in the motion planning of mobile robots both in theoretical methods and practical applications including obstacle avoidance methods, navigation and localization techniques, environmental modelling or map building methods, and vision signal processing etc. Different methods such as potential fields, reactive behaviours, neural-fuzzy based methods, motion control methods and so on are studied. Through this book and its references, the reader will definitely be able to get a thorough overview on the current research results for this specific topic in robotics. The book is intended for the readers who are interested and active in the field of robotics and especially for those who want to study and develop their own methods in motion/path planning or control for an intelligent robotic system.

Practical Motion Planning in Robotics

Author : Kamal Gupta
Publisher : Chichester, England ; Toronto : J. Wiley
ISBN 13 :
Total Pages : 376 pages
Book Rating : 4.F/5 ( download)

DOWNLOAD NOW!

Book Synopsis Practical Motion Planning in Robotics by : Kamal Gupta

Download or read book Practical Motion Planning in Robotics written by Kamal Gupta and published by Chichester, England ; Toronto : J. Wiley. This book was released on 1998-10-15 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Motion Planning in Robotics Current Approaches and Future Directions Edited by Kamal Gupta Simon Fraser University, Burnaby, Canada Angel P. del Pobil Jaume-l University, Castellon, Spain Designed to bridge the gap between research and industry, Practical Motion Planning in Robotics brings theoretical advances to bear on real-world applications. Capitalizing on recent progress, this comprehensive study emphasizes the practical aspects of techniques for collision detection, obstacle avoidance, path planning and manipulation planning. The broad approach spans both model- and sensor-based motion planning, collision detection and geometric complexity, and future directions. Features include: - Review of state-of-the-art techniques and coverage of the main issues to be considered in the development of motion planners for use in real applications - Focus on gross motion planning for articulated arms enabling robots to perform non-contact tasks with relatively high tolerances plus brief consideration of mobile robots - The use of efficient algorithms to tackle incremental changes in the environment - Illlustration of robot motion planning applications in virtual prototyping and the shipbuilding industry - Demonstration of efficient path planners combining both local and global planning approaches in conjunction with efficient techniques for collision detection and distance computations - International contributions from academia and industry Combining theory and practice, this timely book will appeal to academic researchers and practising engineers in the fields of robotic systems, mechatronics and computer science.

Motion Planning in Dynamic Environments

Author : Kikuo Fujimura
Publisher : Springer Science & Business Media
ISBN 13 : 4431681655
Total Pages : 190 pages
Book Rating : 4.4/5 (316 download)

DOWNLOAD NOW!

Book Synopsis Motion Planning in Dynamic Environments by : Kikuo Fujimura

Download or read book Motion Planning in Dynamic Environments written by Kikuo Fujimura and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Science Workbench is a monograph series which will provide you with an in-depth working knowledge of current developments in computer technology. Every volume in this series will deal with a topic of importance in computer science and elaborate on how you yourself can build systems related to the main theme. You will be able to develop a variety of systems, including computer software tools, computer graphics, computer animation, database management systems, and computer-aided design and manufacturing systems. Computer Science Workbench represents an important new contribution in the field of practical computer technology. TOSIYASU L. KUNII To my parents Kenjiro and Nori Fujimura Preface Motion planning is an area in robotics that has received much attention recently. Much of the past research focuses on static environments - various methods have been developed and their characteristics have been well investigated. Although it is essential for autonomous intelligent robots to be able to navigate within dynamic worlds, the problem of motion planning in dynamic domains is relatively little understood compared with static problems.

Adaptive State × Time Lattices: A Contribution to Mobile Robot Motion Planning in Unstructured Dynamic Environments

Author : Petereit, Janko
Publisher : KIT Scientific Publishing
ISBN 13 : 3731505800
Total Pages : 282 pages
Book Rating : 4.7/5 (315 download)

DOWNLOAD NOW!

Book Synopsis Adaptive State × Time Lattices: A Contribution to Mobile Robot Motion Planning in Unstructured Dynamic Environments by : Petereit, Janko

Download or read book Adaptive State × Time Lattices: A Contribution to Mobile Robot Motion Planning in Unstructured Dynamic Environments written by Petereit, Janko and published by KIT Scientific Publishing. This book was released on 2017-01-20 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mobile robot motion planning in unstructured dynamic environments is a challenging task. Thus, often suboptimal methods are employed which perform global path planning and local obstacle avoidance separately. This work introduces a holistic planning algorithm which is based on the concept of state.

Mobile Robot: Motion Control and Path Planning

Author : Ahmad Taher Azar
Publisher : Springer Nature
ISBN 13 : 3031265645
Total Pages : 670 pages
Book Rating : 4.0/5 (312 download)

DOWNLOAD NOW!

Book Synopsis Mobile Robot: Motion Control and Path Planning by : Ahmad Taher Azar

Download or read book Mobile Robot: Motion Control and Path Planning written by Ahmad Taher Azar and published by Springer Nature. This book was released on 2023-06-30 with total page 670 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the recent research advances in linear and nonlinear control techniques. From both a theoretical and practical standpoint, motion planning and related control challenges are key parts of robotics. Indeed, the literature on the planning of geometric paths and the generation of time-based trajectories, while accounting for the compatibility of such paths and trajectories with the kinematic and dynamic constraints of a manipulator or a mobile vehicle, is extensive and rich in historical references. Path planning is vital and critical for many different types of robotics, including autonomous vehicles, multiple robots, and robot arms. In the case of multiple robot route planning, it is critical to produce a safe path that avoids colliding with objects or other robots. When designing a safe path for an aerial or underwater robot, the 3D environment must be considered. As the number of degrees of freedom on a robot arm increases, so does the difficulty of path planning. As a result, safe pathways for high-dimensional systems must be developed in a timely manner. Nonetheless, modern robotic applications, particularly those requiring one or more robots to operate in a dynamic environment (e.g., human–robot collaboration and physical interaction, surveillance, or exploration of unknown spaces with mobile agents, etc.), pose new and exciting challenges to researchers and practitioners. For instance, planning a robot's motion in a dynamic environment necessitates the real-time and online execution of difficult computational operations. The development of efficient solutions for such real-time computations, which could be offered by specially designed computational architectures, optimized algorithms, and other unique contributions, is thus a critical step in the advancement of present and future-oriented robotics.

Passivity-Based Model Predictive Control for Mobile Vehicle Motion Planning

Author : Adnan Tahirovic
Publisher : Springer Science & Business Media
ISBN 13 : 144715049X
Total Pages : 64 pages
Book Rating : 4.4/5 (471 download)

DOWNLOAD NOW!

Book Synopsis Passivity-Based Model Predictive Control for Mobile Vehicle Motion Planning by : Adnan Tahirovic

Download or read book Passivity-Based Model Predictive Control for Mobile Vehicle Motion Planning written by Adnan Tahirovic and published by Springer Science & Business Media. This book was released on 2013-04-18 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: Passivity-based Model Predictive Control for Mobile Vehicle Navigation represents a complete theoretical approach to the adoption of passivity-based model predictive control (MPC) for autonomous vehicle navigation in both indoor and outdoor environments. The brief also introduces analysis of the worst-case scenario that might occur during the task execution. Some of the questions answered in the text include: • how to use an MPC optimization framework for the mobile vehicle navigation approach; • how to guarantee safe task completion even in complex environments including obstacle avoidance and sideslip and rollover avoidance; and • what to expect in the worst-case scenario in which the roughness of the terrain leads the algorithm to generate the longest possible path to the goal. The passivity-based MPC approach provides a framework in which a wide range of complex vehicles can be accommodated to obtain a safer and more realizable tool during the path-planning stage. During task execution, the optimization step is continuously repeated to take into account new local sensor measurements. These ongoing changes make the path generated rather robust in comparison with techniques that fix the entire path prior to task execution. In addition to researchers working in MPC, engineers interested in vehicle path planning for a number of purposes: rescued mission in hazardous environments; humanitarian demining; agriculture; and even planetary exploration, will find this SpringerBrief to be instructive and helpful.

Planning Algorithms

Author : Steven M. LaValle
Publisher : Cambridge University Press
ISBN 13 : 9780521862059
Total Pages : 844 pages
Book Rating : 4.8/5 (62 download)

DOWNLOAD NOW!

Book Synopsis Planning Algorithms by : Steven M. LaValle

Download or read book Planning Algorithms written by Steven M. LaValle and published by Cambridge University Press. This book was released on 2006-05-29 with total page 844 pages. Available in PDF, EPUB and Kindle. Book excerpt: Planning algorithms are impacting technical disciplines and industries around the world, including robotics, computer-aided design, manufacturing, computer graphics, aerospace applications, drug design, and protein folding. Written for computer scientists and engineers with interests in artificial intelligence, robotics, or control theory, this is the only book on this topic that tightly integrates a vast body of literature from several fields into a coherent source for teaching and reference in a wide variety of applications. Difficult mathematical material is explained through hundreds of examples and illustrations.

Robot Motion Planning

Author : Jean-Claude Latombe
Publisher : Springer Science & Business Media
ISBN 13 : 1461540224
Total Pages : 668 pages
Book Rating : 4.4/5 (615 download)

DOWNLOAD NOW!

Book Synopsis Robot Motion Planning by : Jean-Claude Latombe

Download or read book Robot Motion Planning written by Jean-Claude Latombe and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 668 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the ultimate goals in Robotics is to create autonomous robots. Such robots will accept high-level descriptions of tasks and will execute them without further human intervention. The input descriptions will specify what the user wants done rather than how to do it. The robots will be any kind of versatile mechanical device equipped with actuators and sensors under the control of a computing system. Making progress toward autonomous robots is of major practical inter est in a wide variety of application domains including manufacturing, construction, waste management, space exploration, undersea work, as sistance for the disabled, and medical surgery. It is also of great technical interest, especially for Computer Science, because it raises challenging and rich computational issues from which new concepts of broad useful ness are likely to emerge. Developing the technologies necessary for autonomous robots is a formidable undertaking with deep interweaved ramifications in auto mated reasoning, perception and control. It raises many important prob lems. One of them - motion planning - is the central theme of this book. It can be loosely stated as follows: How can a robot decide what motions to perform in order to achieve goal arrangements of physical objects? This capability is eminently necessary since, by definition, a robot accomplishes tasks by moving in the real world. The minimum one would expect from an autonomous robot is the ability to plan its x Preface own motions.

Motion Planning for Humanoid Robots

Author : Kensuke Harada
Publisher : Springer Science & Business Media
ISBN 13 : 1849962200
Total Pages : 320 pages
Book Rating : 4.8/5 (499 download)

DOWNLOAD NOW!

Book Synopsis Motion Planning for Humanoid Robots by : Kensuke Harada

Download or read book Motion Planning for Humanoid Robots written by Kensuke Harada and published by Springer Science & Business Media. This book was released on 2010-08-12 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research on humanoid robots has been mostly with the aim of developing robots that can replace humans in the performance of certain tasks. Motion planning for these robots can be quite difficult, due to their complex kinematics, dynamics and environment. It is consequently one of the key research topics in humanoid robotics research and the last few years have witnessed considerable progress in the field. Motion Planning for Humanoid Robots surveys the remarkable recent advancement in both the theoretical and the practical aspects of humanoid motion planning. Various motion planning frameworks are presented in Motion Planning for Humanoid Robots, including one for skill coordination and learning, and one for manipulating and grasping tasks. The problem of planning sequences of contacts that support acyclic motion in a highly constrained environment is addressed and a motion planner that enables a humanoid robot to push an object to a desired location on a cluttered table is described. The main areas of interest include: • whole body motion planning, • task planning, • biped gait planning, and • sensor feedback for motion planning. Torque-level control of multi-contact behavior, autonomous manipulation of moving obstacles, and movement control and planning architecture are also covered. Motion Planning for Humanoid Robots will help readers to understand the current research on humanoid motion planning. It is written for industrial engineers, advanced undergraduate and postgraduate students.

Motion Planning and Dynamic Control of the Nomad 200 Mobile Robot in a Laboratory Environment

Author : Ko-Cheng Tan
Publisher :
ISBN 13 : 9781423585152
Total Pages : 91 pages
Book Rating : 4.5/5 (851 download)

DOWNLOAD NOW!

Book Synopsis Motion Planning and Dynamic Control of the Nomad 200 Mobile Robot in a Laboratory Environment by : Ko-Cheng Tan

Download or read book Motion Planning and Dynamic Control of the Nomad 200 Mobile Robot in a Laboratory Environment written by Ko-Cheng Tan and published by . This book was released on 1996-06-01 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: Motion planning and control of a Nomad 200 mobile robot are studied in this thesis. The objective is to develop a motion planning and control algorithm that is able to move the robot from an initial configuration (position and orientation) to a goal configuration in a typical laboratory environment. The robot must be able to avoid unknown static (e.g., walls and tables) and dynamic (e.g., people) obstacles. Dubin's algorithm finds the shortest path connecting two configurations in an obstacle-free environment, but it is not able to avoid obstacles present in the environment. The potential field algorithm is effective in avoiding unknown obstacles, but it has the local minimum problem and does not consider the orientation of a mobile robot. A modified potential field algorithm is first developed. The algorithm overcomes local minima in a typical laboratory environment. The modified potential field algorithm is then combined with Dubin's algorithm to incorporate orientation into motion planning. The combined algorithm is able to avoid static and dynamic obstacles and achieve position and orientation requirements. Simulation and physical experiment results are presented to demonstrate the effectiveness of the algorithm.

Mobile Robots in Rough Terrain

Author : Karl Iagnemma
Publisher : Springer Science & Business Media
ISBN 13 : 9783540219682
Total Pages : 136 pages
Book Rating : 4.2/5 (196 download)

DOWNLOAD NOW!

Book Synopsis Mobile Robots in Rough Terrain by : Karl Iagnemma

Download or read book Mobile Robots in Rough Terrain written by Karl Iagnemma and published by Springer Science & Business Media. This book was released on 2004-07-08 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph discusses issues related to estimation, control, and motion planning for mobile robots operating in rough terrain, with particular attention to planetary exploration rovers. Rough terrain robotics is becoming increasingly important in space exploration, and industrial applications. However, most current motion planning and control algorithms are not well suited to rough terrain mobility, since they do not consider the physical characteristics of the rover and its environment. Specific addressed topics are: wheel terrain interaction modeling, including terrain parameter estimation and wheel terrain contact angle estimation; rough terrain motion planning; articulated suspension control; and traction control. Simulation and experimental results are presented that show that the desribed algorithms lead to improved mobility for robotic systems in rough terrain.

Vision-Based Mobile Robot Control and Path Planning Algorithms in Obstacle Environments Using Type-2 Fuzzy Logic

Author : Mahmut Dirik
Publisher : Springer Nature
ISBN 13 : 3030692477
Total Pages : 143 pages
Book Rating : 4.0/5 (36 download)

DOWNLOAD NOW!

Book Synopsis Vision-Based Mobile Robot Control and Path Planning Algorithms in Obstacle Environments Using Type-2 Fuzzy Logic by : Mahmut Dirik

Download or read book Vision-Based Mobile Robot Control and Path Planning Algorithms in Obstacle Environments Using Type-2 Fuzzy Logic written by Mahmut Dirik and published by Springer Nature. This book was released on 2021-03-01 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book includes topics, such as: path planning, avoiding obstacles, following the path, go-to-goal control, localization, and visual-based motion control. The theoretical concepts are illustrated with a developed control architecture with soft computing and artificial intelligence methods. The proposed vision-based motion control strategy involves three stages. The first stage consists of the overhead camera calibration and the configuration of the working environment. The second stage consists of a path planning strategy using several traditional path planning algorithms and proposed planning algorithm. The third stage consists of the path tracking process using previously developed Gauss and Decision Tree control approaches and the proposed Type-1 and Type-2 controllers. Two kinematic structures are utilized to acquire the input values of controllers. These are Triangle Shape-Based Controller Design, which was previously developed and Distance-Based Triangle Structure that is used for the first time in conducted experiments. Four different control algorithms, Type-1 fuzzy logic, Type-2 Fuzzy Logic, Decision Tree Control, and Gaussian Control have been used in overall system design. The developed system includes several modules that simplify characterizing the motion control of the robot and ensure that it maintains a safe distance without colliding with any obstacles on the way to the target. The topics of the book are extremely relevant in many areas of research, as well as in education in courses in computer science, electrical and mechanical engineering and in mathematics at the graduate and undergraduate levels.

Recent Trends In Mobile Robots

Author : Yuan F Zheng
Publisher : World Scientific
ISBN 13 : 9814502812
Total Pages : 384 pages
Book Rating : 4.8/5 (145 download)

DOWNLOAD NOW!

Book Synopsis Recent Trends In Mobile Robots by : Yuan F Zheng

Download or read book Recent Trends In Mobile Robots written by Yuan F Zheng and published by World Scientific. This book was released on 1994-01-14 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent trends in the field as perceived by a global selection of researchers and experts. Subjects covered include motion planning of mobile robots in unknown environments, coordination between mobility and manipulability, computation environments for mobile robots, nonlinear control of mobile robots and environmental modeling using advanced sensing technologies. Issues ranging from progress in applications to fundamental problems are discussed.

Improved Artificial Potential Field Method for Robotic Path Planning

Author : Soham Bhattacharyya
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (134 download)

DOWNLOAD NOW!

Book Synopsis Improved Artificial Potential Field Method for Robotic Path Planning by : Soham Bhattacharyya

Download or read book Improved Artificial Potential Field Method for Robotic Path Planning written by Soham Bhattacharyya and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Determination of a collision free path for a robot between start and goal positions through obstacles cluttered in a workspace is central to the design of an autonomous robot path planning. This thesis presents an improved artificial potential field-based navigation algorithm for mobile robots that produce an optimal path for a robot to navigate in an environment. To complete the navigation task, the algorithm will read the map of the environment or workspace and subsequently create a potential map for the robot to traverse in the workspace without colliding with objects and obstacles. This method overcomes the issue of deadlock which was a major bottleneck in the case of artificial potential field method. The simulation results infer the ability of the proposed method to overcome the deadlock issue and navigate successfully from an initial position to the goal without colliding into obstacles in both static or dynamic environment.